EAGER: Collaborative Research: Role of Citizen Science in Watershed Hydrology Research: Relationships between Volunteer Motivations, Data Quantity and Quality, and Decision-Making
EAGER:协作研究:公民科学在流域水文学研究中的作用:志愿者动机、数据数量和质量以及决策之间的关系
基本信息
- 批准号:1644860
- 负责人:
- 金额:$ 5.28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-01-15 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1644860/1644862Mayer/JonesThere is growing interest in using citizen science projects, public participation in scientific research, to measure hydrologic parameters. Hydrologic variability requires repeated measurements over long periods of time and over a wide range of locations. Citizen science could be a cost-effective approach for hydrologic monitoring, but concerns about data reliability remain; this reliability includes aspects of data quality and quantity, where quantity refers to both temporal frequency and spatial distribution. The overall goal of this project is to advance scientific understanding of the linkages between citizen science project design, the quantity and quality of hydrologic data collected, and the contribution of this method of scientific research to informing payments for watershed services program design and support.This project is innovative in that it explores the impact of citizen science data reliability "end-to-end" including, recruitment and retention of citizen science volunteers, citizen science data collection, incorporation of citizen science data in engineering tools, and informing policy design and decision-making. The project objectives are: (1) to determine the factors affecting retention in citizen science programs, (2) to test the effect that norm-based messaging can have on the quantity and quality of data collected, and, (3) to evaluate the impact of the quantity and quality of citizen science data collected on hydrologic model reliability, corresponding payments for watershed services program decision-making, and support for payments for watershed services programs. These objectives will be met by: (1) recruiting citizen science volunteers in two watersheds in Veracruz, Mexico with ongoing hydrologic data collection and payments for watershed services programs; (2) implementing an experimental design to test the effect of norm messaging by randomly allocating "nudges" to citizen science volunteers; (3) simultaneously collecting rainfall and stream discharge data with citizen science volunteers and accepted hydrologic science protocols; (4) estimating the precision and accuracy of the citizen science data against the data collected with the accepted scientific protocols; (5) calibrating a watershed hydrology model with and without the citizen science data, including the effects of data precision and accuracy; and, (6) determining priority areas for payments for watershed services with and without the citizen science data. Mexico has one of the world?s longest running payments for watershed services programs. The National Forest Commission, responsible for payments for watershed services programs in Mexico, plans to use citizen science volunteers for monitoring hydrologic outcomes of local payments for watershed services programs. Thus, the proposed work could improve payments for watershed services program design and monitoring and evaluation protocols, especially if there are indirect benefits of citizen science participation through improved knowledge, behaviors, and support of payments for watershed services programs. The PIs plan to generate several refereed papers and presentations from this work on the social science, biophysical and integrated aspects of this work. Additionally, this project will support training of two PhD students contributing to at least two dissertations.
1644860/1644862Mayer/Jonesthere越来越有兴趣使用公民科学项目,公众参与科学研究,以衡量水文参数。水文变异性需要在长时间和广泛的位置进行重复测量。公民科学可能是用于水文监测的经济高效的方法,但仍然对数据可靠性的担忧;该可靠性包括数据质量和数量的各个方面,其中数量是指时间频率和空间分布。该项目的总体目标是提高对公民科学项目设计,收集的水文数据的数量和质量之间的联系的科学理解,以及这种科学研究方法在告知流域服务计划计划设计和支持的付款方面的贡献。该项目具有创新性。它是创新的,因为它探索了公民科学数据可靠性,包括招聘公民的影响,包括招聘公民的影响,包括招聘公民的范围,包括招聘公民的范围,招聘了公民的影响,工程工具中的科学数据,并为政策设计和决策提供信息。项目目标是:(1)确定影响公民科学计划保留的因素,(2)测试基于规范的消息传递对收集到的数据的数量和质量的效果,以及(3)评估收集的公民科学数据和质量数据对水文模型可靠性的影响和质量的影响,对Watershed Service service departs waters specters waters and Spectsed and Spections and Specters and Spectsed and Specters and Spectsed and Spectsed and Spectsed and Spectsed和Waters和waters的支持。这些目标将由以下方式实现:(1)在墨西哥韦拉克鲁斯的两个分水岭招募公民科学志愿者,并进行了持续的水文数据收集和分水岭服务计划的付款; (2)实施实验设计来通过将“午睡”随机分配给公民科学志愿者来测试规范消息的效果; (3)与公民科学志愿者同时收集降雨和流排出数据,并接受水文科学方案; (4)根据公认的科学协议收集的数据估算公民科学数据的精确性和准确性; (5)使用或没有公民科学数据的流域水文学模型,包括数据精度和准确性的影响; (6)确定有或没有公民科学数据的流域服务付款的优先领域。墨西哥拥有全球最长的流域服务计划付款。负责墨西哥分水岭服务计划付款的国家森林委员会计划使用公民科学志愿者来监视当地付款的流域服务计划的水文结果。因此,拟议的工作可以改善流域服务计划设计,监控和评估协议的付款,尤其是在通过改善知识,行为和对流域服务计划的付款的支持,公民科学参与的间接益处。 PIS计划从这项工作的社会科学,生物物理和综合方面的这项工作中生成几篇被裁判的论文和演讲。此外,该项目将支持对至少两项论文贡献的两名博士学位学生的培训。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Alex Mayer其他文献
Student-Generated Protective Behaviors to Avert Severe Harm Due to High-Risk Alcohol Consumption
学生采取保护行为,以避免因高风险饮酒而造成严重伤害
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Sandi W. Smith;C. LaPlante;Wilma Novales Wibert;Alex Mayer;C. Atkin;K. Klein;Ed Glazer;Dennis Martell - 通讯作者:
Dennis Martell
Psychosocial implications of unconventional natural gas development: Quality of life in Ohio's Guernsey and Noble Counties
非常规天然气开发的社会心理影响:俄亥俄州根西岛和诺布尔县的生活质量
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Michael P. Fisher;Alex Mayer;Kaitlin Vollet;E. Hill;E. Haynes - 通讯作者:
E. Haynes
Alex Mayer的其他文献
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{{ truncateString('Alex Mayer', 18)}}的其他基金
NSF Convergence Accelerator Track K: Unraveling the Benefits, Costs, and Equity of Tree Coverage in Desert Cities
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2121991 - 财政年份:2022
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Standard Grant
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CBET-EPSRC 复杂海水入侵影响含水层可持续管理的高效替代建模
- 批准号:
2022278 - 财政年份:2020
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- 批准号:
1903405 - 财政年份:2019
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Standard Grant
RET Site: PLACE- Promoting Learning About Computational tools and the Environment
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- 批准号:
1542383 - 财政年份:2016
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$ 5.28万 - 项目类别:
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CI-TEAM Demo: Environmental CyberCitizens: Engaging Citizen Scientists in Global Environmental Change through Crowdsensing and Visualization
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- 批准号:
1135523 - 财政年份:2011
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$ 5.28万 - 项目类别:
Standard Grant
IDR: Collaborative Research: Sustainable Water Resources for Communities under Climate Change: Can State-of-the-Art Forecasting Inform Decision-Making in Data Sparse Regions?
IDR:合作研究:气候变化下社区的可持续水资源:最先进的预测能否为数据稀疏地区的决策提供信息?
- 批准号:
1014818 - 财政年份:2010
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- 批准号:
1039062 - 财政年份:2010
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0841073 - 财政年份:2009
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Standard Grant
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- 批准号:
0827497 - 财政年份:2008
- 资助金额:
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